Back to leaderboard

gemma-3-4b-it-q4-k-m

OLLAMA GGUF

llama · 4B · Q4_K_M

Excellent

Jul 9, 2026 · Intel Core™ i5-10400

ministral-3:8b

OLLAMA GGUF

mistral3 · 8.9B · Q4_K_M

Good

Mar 6, 2026 · Apple M4

Global Score
80 vs 76
Hardware Fit
100 vs 89
Quality Score
71 vs 71

Hardware

gemma-3-4b-it-q4-k-m ministral-3:8b
MachineMac ProMacBook Air
CPUIntel Core™ i5-10400Apple M4
Cores1210
RAM32 GB32 GB
GPUAMD Radeon RX 6700 XTApple M4
OSmacOS 26.5.1macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

gemma-3-4b-it-q4-k-m ministral-3:8b
Tokens/sec75.019.5
First chunk136 ms328 ms
TTFT136 ms328 ms
Load time0.0 s1.5 s
Memory usage0.8 GB10.6 GB
Memory %3%33%

HW Fit Score Breakdown

gemma-3-4b-it-q4-k-m

Speed
50/50
TTFT
20/20
Memory
30/30

ministral-3:8b

Speed
39/50
TTFT
20/20
Memory
30/30

Quality

gemma-3-4b-it-q4-k-m

Reasoning
11/20
Coding
17/20
Instruction
14/20
Structured
14/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

ministral-3:8b

Reasoning
12/20
Coding
18/20
Instruction
12/20
Structured
13/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View gemma-3-4b-it-q4-k-m details | View ministral-3:8b details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest